Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.662  0.037  0.214  0.566  0.585  0.57
Anderszewski 2003   44  0.5268  0.0037  0.0539  0.1323  0.3938  0.23
Ashkenazy 1981   8  0.659  0.0110  0.155  0.5612  0.549  0.55
Bacha 2000   78  0.3986  0.0079  0.0567  0.0583  0.0376  0.04
Badura 1965   48  0.5143  0.0048  0.0652  0.0619  0.4047  0.15
Barbosa 1983   74  0.4528  0.0061  0.0657  0.0660  0.0574  0.05
Biret 1990   47  0.5165  0.0060  0.0749  0.0760  0.0567  0.06
Blet 2003   35  0.5611  0.0141  0.0636  0.169  0.4934  0.28
Block 1995   62  0.4918  0.0030  0.0734  0.1720  0.3735  0.25
Blumental 1952   51  0.515  0.0312  0.1131  0.267  0.4426  0.34
Boshniakovich 1969   31  0.5688  0.0046  0.0475  0.0441  0.1760  0.08
Brailowsky 1960   81  0.3764  0.0085  0.0288  0.0273  0.0482  0.03
Bunin 1987   55  0.5040  0.0058  0.0748  0.0724  0.3448  0.15
Bunin 1987b   59  0.5069  0.0059  0.0750  0.0727  0.3246  0.15
Chiu 1999   77  0.4454  0.0074  0.0480  0.0460  0.0477  0.04
Cohen 1997   87  0.2946  0.0087  0.0382  0.0378  0.0387  0.03
Cortot 1951   17  0.6048  0.0011  0.1214  0.453  0.736  0.57
Csalog 1996   84  0.3374  0.0082  0.0385  0.0387  0.0386  0.03
Czerny 1949   7  0.6653  0.006  0.166  0.5511  0.604  0.57
Czerny 1990   2  0.726  0.022  0.332  0.744  0.741  0.74
Duchoud 2007   50  0.5170  0.0052  0.0563  0.0522  0.4050  0.14
Ezaki 2006   25  0.5855  0.0044  0.0542  0.1155  0.0657  0.08
Falvay 1989   75  0.4527  0.0078  0.0570  0.0566  0.0569  0.05
Farrell 1958   36  0.5650  0.0043  0.0537  0.156  0.5132  0.28
Ferenczy 1958   46  0.5256  0.0036  0.0543  0.1010  0.4641  0.21
Fliere 1977   4  0.6719  0.0013  0.1212  0.4932  0.3916  0.44
Fou 1978   41  0.5335  0.0051  0.0571  0.0561  0.0570  0.05
Francois 1956   37  0.5551  0.0040  0.0540  0.1316  0.5036  0.25
Friedman 1923   60  0.5089  0.0039  0.0538  0.147  0.5931  0.29
Friedman 1923b   58  0.5031  0.0033  0.0633  0.197  0.6127  0.34
Friedman 1930   40  0.5326  0.0031  0.0630  0.269  0.5324  0.37
Garcia 2007   73  0.4676  0.0054  0.0654  0.067  0.6142  0.19
Garcia 2007b   72  0.4690  0.0042  0.0545  0.097  0.5639  0.22
Gierzod 1998   15  0.6160  0.0014  0.1013  0.4719  0.4815  0.47
Gornostaeva 1994   32  0.5639  0.0035  0.0641  0.1338  0.1849  0.15
Groot 1988   43  0.527  0.0234  0.0635  0.1749  0.0654  0.10
Harasiewicz 1955   26  0.5852  0.0018  0.0817  0.4030  0.2829  0.33
Hatto 1993   71  0.4661  0.0057  0.0946  0.0959  0.0563  0.07
Hatto 1997   65  0.4882  0.0055  0.0562  0.0537  0.1656  0.09
Horowitz 1949   69  0.4736  0.0075  0.0569  0.0547  0.0672  0.05
Indjic 1988   67  0.4783  0.0056  0.0656  0.0668  0.0573  0.05
Kapell 1951   10  0.643  0.034  0.219  0.535  0.5411  0.53
Kissin 1993   20  0.6021  0.0026  0.0826  0.2835  0.2037  0.24
Kushner 1989   11  0.6312  0.0122  0.0921  0.3719  0.4421  0.40
Luisada 1991   45  0.5278  0.0062  0.0568  0.0558  0.0568  0.05
Lushtak 2004   39  0.5466  0.0047  0.0564  0.0546  0.0765  0.06
Malcuzynski 1961   22  0.5913  0.0128  0.0927  0.2824  0.3230  0.30
Magaloff 1978   53  0.5130  0.0067  0.0476  0.0472  0.0478  0.04
Magin 1975   56  0.5045  0.0066  0.0479  0.0463  0.0479  0.04
Michalowski 1933   28  0.5762  0.0015  0.1315  0.453  0.6312  0.53
Milkina 1970   52  0.5149  0.0064  0.0572  0.0556  0.0671  0.05
Mohovich 1999   42  0.5314  0.0153  0.0659  0.0649  0.0766  0.06
Moravec 1969   61  0.4944  0.0063  0.0565  0.0533  0.2153  0.10
Morozova 2008   16  0.618  0.0117  0.0916  0.4312  0.4417  0.43
Neighaus 1950   5  0.6724  0.009  0.187  0.544  0.597  0.56
Niedzielski 1931   57  0.5010  0.0150  0.0566  0.0513  0.4944  0.16
Ohlsson 1999   18  0.6022  0.0027  0.0828  0.2731  0.3033  0.28
Osinska 1989   27  0.5884  0.0038  0.0532  0.2037  0.2240  0.21
Pachmann 1927   82  0.3629  0.0086  0.0287  0.0266  0.0484  0.03
Paderewski 1930   30  0.5720  0.0020  0.0725  0.313  0.5718  0.42
Perlemuter 1992   21  0.6047  0.0024  0.0819  0.386  0.5814  0.47
Pierdomenico 2008   70  0.4663  0.0073  0.0478  0.0439  0.1758  0.08
Poblocka 1999   3  0.6771  0.005  0.148  0.535  0.5310  0.53
Rabcewiczowa 1932   14  0.6115  0.0116  0.1610  0.534  0.588  0.55
Rachmaninoff 1923   38  0.5434  0.0029  0.0922  0.3118  0.4423  0.37
Rangell 2001   68  0.4738  0.0072  0.0477  0.0440  0.1462  0.07
Richter 1976   34  0.5632  0.0049  0.0655  0.0620  0.4145  0.16
Rosen 1989   29  0.5773  0.0045  0.0544  0.0942  0.1352  0.11
Rosenthal 1930   64  0.4857  0.0070  0.0653  0.0620  0.4743  0.17
Rosenthal 1931   85  0.3185  0.0081  0.0383  0.0364  0.0485  0.03
Rosenthal 1931b   86  0.2981  0.0084  0.0386  0.0382  0.0290  0.02
Rosenthal 1931c   76  0.4475  0.0076  0.0651  0.0641  0.1855  0.10
Rosenthal 1931d   88  0.2879  0.0088  0.0481  0.0479  0.0388  0.03
Rossi 2007   80  0.3858  0.0077  0.0660  0.0626  0.2751  0.13
Rubinstein 1939   83  0.3425  0.0083  0.0384  0.0374  0.0483  0.03
Rubinstein 1952   79  0.3933  0.0080  0.0658  0.0677  0.0475  0.05
Rubinstein 1966   49  0.5167  0.0069  0.0661  0.0652  0.0861  0.07
Schilhawsky 1960   33  0.5659  0.0032  0.0729  0.2628  0.4128  0.33
Shebanova 2002   13  0.6237  0.0019  0.0618  0.3929  0.3822  0.38
Smith 1975   23  0.5980  0.0023  0.1020  0.3714  0.4619  0.41
Sokolov 2002   19  0.6016  0.0025  0.0923  0.3118  0.4225  0.36
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tomsic 1995   54  0.5017  0.0068  0.0573  0.0542  0.1259  0.08
Uninsky 1932   9  0.654  0.033  0.193  0.583  0.693  0.63
Uninsky 1971   12  0.6242  0.008  0.2211  0.518  0.5313  0.52
Wasowski 1980   24  0.5923  0.0021  0.0824  0.316  0.5220  0.40
Zak 1937   63  0.4841  0.0065  0.0474  0.0474  0.0480  0.04
Zak 1951   66  0.4772  0.0071  0.0847  0.0870  0.0464  0.06
Average   1  0.771  0.681  0.681  0.8721  0.452  0.63
Random 1   91  -0.0677  0.0089  0.0190  0.0134  0.1781  0.04
Random 2   90  -0.0491  0.0091  0.0191  0.0170  0.0291  0.01
Random 3   89  -0.0287  0.0090  0.0189  0.0153  0.0489  0.02

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).